Dense-U-net: Dense encoder–decoder network for holographic imaging of 3D particle fields

Digital holographic imaging is able to reconstruct phase and three-dimensional (3D) information of an object from a one-shot two-dimensional (2D) lensless hologram. A dense encoder–decoder network, called Dense-U-net, is proposed to realize the reconstruction of a 3D particle field. The radii and 3D...

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Bibliographic Details

Published in:	Optics communications Vol. 493; p. 126970
Main Authors:	Wu, Yufeng, Wu, Jiachen, Jin, Shangzhong, Cao, Liangcai, Jin, Guofan
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 15.08.2021
Subjects:	Deep learning Dense-U-net Digital holography Image reconstruction Deep learning Digital holography Dense-U-net Image reconstruction
ISSN:	0030-4018, 1873-0310
Online Access:	Get full text
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